Results 101 to 110 of about 16,614 (261)

Raman Spectroscopic Identification of Oxide Phases in a Corroded MgO–Steel Composite Anode Used in Aluminum Molten Salt Electrolysis

open access: yesAdvanced Engineering Materials, EarlyView.
Micro‐Raman spectroscopy is applied to characterize corrosion products in a recycled‐based MgO–316L steel composite anode after molten salt electrolysis. A depth‐dependent Fe–O/Fe–Al–O layer sequence of magnetite, hercynite, and an Al‐doped magnetite transition zone is identified.
Felix Drechsler   +9 more
wiley   +1 more source

Pyramidal Structures on Yttria‐Stabilized Zirconia after High Temperature Exposure at 1500°C: New Features on an Old Material

open access: yesAdvanced Engineering Materials, EarlyView.
New features on yttria‐stabilized zirconia after exposure at 1500°C: Newly discovered pyramidal structures on an old material. After exposure at 1550°C on the cross section of YSZ new features, namely pyramidal structures are discovered. These structures grow with time, increase in numbers, appear as singularities, are often arranged in strings, and ...
Doris Sebold   +2 more
wiley   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

open access: yesAdvanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba   +5 more
wiley   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour   +5 more
wiley   +1 more source

Impact of Sustainable Binders Based on Lignin and Collagen on the Volume Stability and Mechanical Properties of MgO‐C Refractories with MgO‐C Recyclates

open access: yesAdvanced Engineering Materials, EarlyView.
Collagen hydrolysate is evaluated as a sustainable binder for MgO‐C refractories. Its thermally induced cross‐linking and gas release lead to expansion and cracking in large bricks, but tailored batches with lignin, recyclates, or fine graphite improve the gas release while thermal treatment and stability.
Till M. J. Stadtmüller   +8 more
wiley   +1 more source

Simulation of Solar Energetic Particle Events Originated from Coronal Mass Ejection Shocks with a Data-driven Physics-based Transport Model

open access: yesThe Astrophysical Journal
Abstract Solar energetic particle (SEP) events are associated with coronal mass ejections (CMEs) and/or solar flares. SEPs travel through the corona and interplanetary space to reach Earth, posing a radiation hazard to spacecraft and astronauts working in space and the electronics on spacecraft.
Lei Cheng   +3 more
openaire   +3 more sources

Development of Sustainable MgO–C Refractories Using MgO–C Recyclates and a Novel Eco‐Friendly Fructose–Tannin Binder Crosslinked With Citric Acid

open access: yesAdvanced Engineering Materials, EarlyView.
This study develops sustainable MgO–C refractories using recycled materials and eco‐friendly fructose–tannin binders. The enhanced performance of citric acid as a cross‐linker and functional additives on mechanical and thermomechanical properties was examined. Characterization included strength tests, immersion trials, and microstructural and inclusion
Dinesh K. Gunasekar   +7 more
wiley   +1 more source

Deep Learning Approaches for BSM Physics: Evaluating DNN and GNN Performance in Particle Collision Event Classification

open access: yesActa Physica Polonica B
Detecting Beyond Standard Model (BSM) signals in high-energy particle collisions presents significant challenges due to complex data and the need to differentiate rare signal events from Standard Model (SM) backgrounds. This study investigates the efficacy of deep learning models, specifically Deep Neural Networks (DNNs) and Graph Neural Networks (GNNs)
openaire   +3 more sources

Multiscale, Multiphysics Modeling and Simulation of Single-Event Effects in Digital Electronics: From Particles to Systems

open access: yesIEEE Transactions on Nuclear Science
This review paper aims to provide a survey of modeling and simulation of single-event effects (SEEs) in digital electronics at device, circuit and system levels. It primarily focuses on the specific multi-scale, multi-physics, multi-domain nature of SEEs and on the main underlying physical mechanisms that lead to the occurrence of single events in ...
Autran, Jean-Luc, Munteanu, Daniela
openaire   +1 more source

Deterministic Detection of Single Ion Implantation

open access: yesAdvanced Engineering Materials, EarlyView.
Focused ion beam implantation with high detection efficiencies will enable the rapid and scalable fabrication of advanced spin‐based technologies such as qubits. This work presents the detection efficiencies of a wide range of ions implanted into solid‐state hosts, with efficiencies of >90% recorded for ion species and substrate combinations of ...
Mason Adshead   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy